Opportunities, applications, and challenges of edge-AI enabled video analytics in smart cities: a systematic review
Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …
and industry, captivating minds with its transformative potential. Deep learning techniques …
Smartfilter: An edge system for real-time application-guided video frames filtering
Given the limited bandwidth available in distributed camera systems, it is nearly impossible
for cameras to transmit their entire feed to the server in real time. Furthermore, as the …
for cameras to transmit their entire feed to the server in real time. Furthermore, as the …
CVF: Cross-Video Filtration on the Edge
A Rahmanian, S Amin, H Gustafsson… - Proceedings of the 15th …, 2024 - dl.acm.org
Many edge applications rely on expensive Deep-Neural-Network (DNN) inference-based
video analytics. Typically, a single instance of an inference service analyzes multiple …
video analytics. Typically, a single instance of an inference service analyzes multiple …
Alertme: Towards natural language-based live video trigger systems at the edge
Advances in deep learning have enabled brand new video analytics systems and
applications. Existing systems research on real-time video event detection does not consider …
applications. Existing systems research on real-time video event detection does not consider …